datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
padma-meghna-riverbank-erosionBioVITA
Citation
@inproceedings{shinoda2026biovita,
title = {BioVITA: Biological Dataset, Model, and Benchmark for Visual-Textual-Acoustic Alignment},
author = {Risa Shinoda and Kaede Shiohara and Nakamasa Inoue and Kuniaki Saito and Hiroaki Santo and Fumio Okura},
booktitle = {CVPR},
year = {2026},
}
AgroBench
AgroBench: Vision-Language Model Benchmark in Agriculture
Authors: Risa Shinoda, Nakamasa Inoue, Hirokatsu Kataoka, Masaki Onishi, Yoshitaka Ushiku (ICCV'25)
Citation
If you use our dataset, please cite our paper.
@InProceedings{Shinoda_2025_ICCV,
author = {Shinoda, Risa and Inoue, Nakamasa and Kataoka, Hirokatsu and Onishi, Masaki and Ushiku, Yoshitaka},
title = {AgroBench: Vision-Language Model Benchmark in Agriculture},
booktitle = {Proceedings of the… See the full description on the dataset page: https://huggingface.co/datasets/risashinoda/AgroBench.footprint_yolo
AnimalClue YOLO Datasets
AnimalClue: Recognizing Animals by their Traces
📌 ICCV 2025 Highlight
This repository is part of the AnimalClue project, which explores the recognition of wild animals from indirect clues such as feathers, footprints, feces, eggs, and bones. These datasets are designed for object detection training using YOLO format.
Each image filename is linked to an observation ID, and any use of the image must comply with the license associated… See the full description on the dataset page: https://huggingface.co/datasets/risashinoda/footprint_yolo.HalCap-Bench
HalCap-Bench
HalCap-Bench dataset.
Columns
model
image_source
image_name
image_type
sentence_index
caption
annotation
error_type
error_words
agreement_ratio
fleiss_Pi
n_correct
n_incorrect
n_unknown
image_url
image_path_in_repo
Notes
Notes
For COCO/CC12M items, the image is referenced by image_url.
For SD/Imagen/data_generation items, the image file is stored under images/ and referenced by image_path_in_repo.
bone_yolo
AnimalClue YOLO Datasets
AnimalClue: Recognizing Animals by their Traces
📌 ICCV 2025 Highlight
This repository is part of the AnimalClue project, which explores the recognition of wild animals from indirect clues such as feathers, footprints, feces, eggs, and bones. These datasets are designed for object detection training using YOLO format.
Each image filename is linked to an observation ID, and any use of the image must comply with the license associated… See the full description on the dataset page: https://huggingface.co/datasets/risashinoda/bone_yolo.feces_yolo
AnimalClue YOLO Datasets
AnimalClue: Recognizing Animals by their Traces
📌 ICCV 2025 Highlight
This repository is part of the AnimalClue project, which explores the recognition of wild animals from indirect clues such as feathers, footprints, feces, eggs, and bones. These datasets are designed for object detection training using YOLO format.
Each image filename is linked to an observation ID, and any use of the image must comply with the license associated… See the full description on the dataset page: https://huggingface.co/datasets/risashinoda/feces_yolo.egg_yolo
AnimalClue YOLO Datasets
AnimalClue: Recognizing Animals by their Traces
📌 ICCV 2025 Highlight
This repository is part of the AnimalClue project, which explores the recognition of wild animals from indirect clues such as feathers, footprints, feces, eggs, and bones. These datasets are designed for object detection training using YOLO format.
Each image filename is linked to an observation ID, and any use of the image must comply with the license associated… See the full description on the dataset page: https://huggingface.co/datasets/risashinoda/egg_yolo.